B
AI Engineer
BayRock Labs
2 hours ago
Full-time
On-site
Sacramento, California, United States
About BayRock Labs
At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let’s redefine what’s possible in technology.
We are seeking a highly skilled
AI Engineer
with strong hands-on experience in building and integrating
LLM-powered systems . The ideal candidate will have deep expertise in
Python
, practical experience with
LangGraph/LangChain
for agent workflows, and proficiency in
FastAPI
for developing production-grade APIs. This role involves designing, deploying, and scaling intelligent systems that leverage large language models to deliver enterprise-ready solutions.
Key Responsibilities
Design and build
advanced AI systems powered by large language models (LLMs).
Develop and integrate agent workflows
using LangGraph/LangChain frameworks.
Implement production-grade APIs
with FastAPI to support scalable deployments.
Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions.
Optimize performance, reliability, and scalability of AI-driven applications.
Stay current with emerging AI/ML technologies and contribute to innovation initiatives.
Required Skills & Experience
Strong hands-on experience with
LLM-powered systems
(e.g., GPT, Claude, LLaMA, Mistral).
Deep expertise in
Python
for AI/ML development.
Proven experience with
LangGraph/LangChain
for agent workflow orchestration.
Proficiency in
FastAPI
for building robust, production-ready APIs.
Solid understanding of
ML lifecycle management
, including deployment, monitoring, and scaling.
Experience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads.
Strong problem-solving skills and ability to work in fast-paced environments.
Preferred Qualifications
Experience with
vector databases
(e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation.
Familiarity with
MLOps tools
(MLflow, Kubeflow, or similar).
Knowledge of
prompt engineering
and fine-tuning LLMs.
Prior work in
enterprise AI applications
(chatbots, copilots, automation systems).
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At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let’s redefine what’s possible in technology.
We are seeking a highly skilled
AI Engineer
with strong hands-on experience in building and integrating
LLM-powered systems . The ideal candidate will have deep expertise in
Python
, practical experience with
LangGraph/LangChain
for agent workflows, and proficiency in
FastAPI
for developing production-grade APIs. This role involves designing, deploying, and scaling intelligent systems that leverage large language models to deliver enterprise-ready solutions.
Key Responsibilities
Design and build
advanced AI systems powered by large language models (LLMs).
Develop and integrate agent workflows
using LangGraph/LangChain frameworks.
Implement production-grade APIs
with FastAPI to support scalable deployments.
Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions.
Optimize performance, reliability, and scalability of AI-driven applications.
Stay current with emerging AI/ML technologies and contribute to innovation initiatives.
Required Skills & Experience
Strong hands-on experience with
LLM-powered systems
(e.g., GPT, Claude, LLaMA, Mistral).
Deep expertise in
Python
for AI/ML development.
Proven experience with
LangGraph/LangChain
for agent workflow orchestration.
Proficiency in
FastAPI
for building robust, production-ready APIs.
Solid understanding of
ML lifecycle management
, including deployment, monitoring, and scaling.
Experience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads.
Strong problem-solving skills and ability to work in fast-paced environments.
Preferred Qualifications
Experience with
vector databases
(e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation.
Familiarity with
MLOps tools
(MLflow, Kubeflow, or similar).
Knowledge of
prompt engineering
and fine-tuning LLMs.
Prior work in
enterprise AI applications
(chatbots, copilots, automation systems).
#J-18808-Ljbffr